2009 |
57 | EE | Daniel Lowd,
Nicholas Kushmerick:
Using salience to segment desktop activity into projects.
IUI 2009: 463-468 |
2008 |
56 | EE | Frank McCarey,
Mel Ó Cinnéide,
Nicholas Kushmerick:
Knowledge reuse for software reuse.
Web Intelligence and Agent Systems 6(1): 59-81 (2008) |
2006 |
55 | | Nicholas Kushmerick,
Tessa A. Lau,
Mark Dredze,
Rinat Khoussainov:
Activity-Centric Email: A Machine Learning Approach.
AAAI 2006 |
54 | EE | Martina Naughton,
Nicholas Kushmerick,
Joe Carthy:
Clustering Sentences for Discovering Events in News Articles.
ECIR 2006: 535-538 |
53 | EE | Frank McCarey,
Mel Ó Cinnéide,
Nicholas Kushmerick:
A Recommender Agent for Software Libraries: An Evaluation of Memory-Based and Model-Based Collaborative Filtering.
IAT 2006: 154-162 |
52 | EE | Frank McCarey,
Mel Ó Cinnéide,
Nicholas Kushmerick:
Recommending Library Methods: An Evaluation of the Vector Space Model (VSM) and Latent Semantic Indexing (LSI).
ICSR 2006: 217-230 |
51 | EE | Mark Dredze,
Tessa A. Lau,
Nicholas Kushmerick:
Automatically classifying emails into activities.
IUI 2006: 70-77 |
50 | EE | Aidan Finn,
Nicholas Kushmerick:
Learning to classify documents according to genre.
JASIST 57(11): 1506-1518 (2006) |
2005 |
49 | EE | Rinat Khoussainov,
Nicholas Kushmerick:
Email Task Management: An Iterative Relational Learning Approach.
CEAS 2005 |
48 | EE | Catalina Danis,
Wendy A. Kellogg,
Tessa A. Lau,
Mark Dredze,
Jeffrey Stylos,
Nicholas Kushmerick:
Managers' email: beyond tasks and to-dos.
CHI Extended Abstracts 2005: 1324-1327 |
47 | EE | Neil Ireson,
Fabio Ciravegna,
Mary Elaine Califf,
Dayne Freitag,
Nicholas Kushmerick,
Alberto Lavelli:
Evaluating machine learning for information extraction.
ICML 2005: 345-352 |
46 | EE | Rinat Khoussainov,
Andreas Heß,
Nicholas Kushmerick:
Ensembles of biased classifiers.
ICML 2005: 425-432 |
45 | EE | Rinat Khoussainov,
Nicholas Kushmerick:
Relational Learning for Email Task Management.
IJCAI 2005: 1610-1612 |
44 | EE | Nicholas Kushmerick,
Tessa A. Lau:
Automated email activity management: an unsupervised learning approach.
IUI 2005: 67-74 |
43 | EE | Andreas Heß,
Rinat Khoussainov,
Nicholas Kushmerick:
Ensemble Learning with Biased Classifiers: The Triskel Algorithm.
Multiple Classifier Systems 2005: 226-235 |
42 | | Frank McCarey,
Mel Ó Cinnéide,
Nicholas Kushmerick:
Knowledge Reuse for Software Reuse.
SEKE 2005: 115-120 |
41 | EE | Frank McCarey,
Mel Ó Cinnéide,
Nicholas Kushmerick:
An Eclipse Plugin to Support Agile Reuse.
XP 2005: 162-170 |
40 | EE | Frank McCarey,
Mel Ó Cinnéide,
Nicholas Kushmerick:
Rascal: A Recommender Agent for Agile Reuse.
Artif. Intell. Rev. 24(3-4): 253-276 (2005) |
2004 |
39 | EE | Aidan Finn,
Nicholas Kushmerick:
Multi-level Boundary Classification for Information Extraction.
ECML 2004: 111-122 |
38 | EE | Andreas Heß,
Nicholas Kushmerick:
Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services.
ECML 2004: 156-167 |
37 | EE | Eddie Johnston,
Nicholas Kushmerick:
Aggregating Web Services with Active Invocation and Ensembles of String Distance Metrics.
EKAW 2004: 386-402 |
36 | EE | Andreas Heß,
Eddie Johnston,
Nicholas Kushmerick:
ASSAM: A Tool for Semi-automatically Annotating Semantic Web Services.
International Semantic Web Conference 2004: 320-334 |
35 | EE | Rinat Khoussainov,
Nicholas Kushmerick:
Specialisation dynamics in federated web search.
WIDM 2004: 112-119 |
34 | EE | Michael P. O'Mahony,
Neil J. Hurley,
Nicholas Kushmerick,
Guenole C. M. Silvestre:
Collaborative recommendation: A robustness analysis.
ACM Trans. Internet Techn. 4(4): 344-377 (2004) |
2003 |
33 | EE | Nicholas Kushmerick,
Bernd Thomas:
Adaptive Information Extraction: Core Technologies for Information Agents.
AgentLink 2003: 79-103 |
32 | EE | Rinat Khoussainov,
Nicholas Kushmerick:
Automated index management for distributed web search.
CIKM 2003: 386-393 |
31 | EE | Nicholas Kushmerick:
Learning to Invoke Web Forms.
CoopIS/DOA/ODBASE 2003: 997-1013 |
30 | EE | Rinat Khoussainov,
Nicholas Kushmerick:
Distributed Web Search as a Stochastic Game.
Distributed Multimedia Information Retrieval 2003: 58-69 |
29 | EE | Rinat Khoussainov,
Nicholas Kushmerick:
Optimising Performance of Competing Search Engines in Heterogeneous Web Environments.
ECML 2003: 217-228 |
28 | EE | Andreas Heß,
Nicholas Kushmerick:
Automatically attaching semantic metadata to Web Services.
IIWeb 2003: 111-116 |
27 | | Rinat Khoussainov,
Nicholas Kushmerick:
Learning to Compete in Heterogeneous Web Search Environments.
IJCAI 2003: 1429-1431 |
26 | EE | Andreas Heß,
Nicholas Kushmerick:
Learning to Attach Semantic Metadata to Web Services.
International Semantic Web Conference 2003: 258-273 |
25 | EE | Maya Dimitrova,
Nicholas Kushmerick:
Dimensions of Web Genre.
WWW (Posters) 2003 |
24 | EE | Rinat Khoussainov,
Nicholas Kushmerick:
Performance Management in Competitive Distributed Web Search.
Web Intelligence 2003: 532-536 |
2002 |
23 | EE | J. P. McGowan,
Nicholas Kushmerick,
Barry Smyth:
Who Do You Want to Be Today? Web Personae for Personalised Information Access.
AH 2002: 514-517 |
22 | EE | Aidan Finn,
Nicholas Kushmerick,
Barry Smyth:
Genre Classification and Domain Transfer for Information Filtering.
ECIR 2002: 353-362 |
21 | EE | Nicholas Kushmerick:
Robustness Analyses of Instance-Based Collaborative Recommendation.
ECML 2002: 232-244 |
20 | EE | Nicholas Kushmerick:
Finite-State Approaches to Web Information Extraction.
SCIE 2002: 77-91 |
19 | EE | Fergus Toolan,
Nicholas Kushmerick:
Mining Web Logs for Personalized Site Maps.
WISE Workshops 2002: 232-237 |
18 | | Taurai Tapiwa Chinenyanga,
Nicholas Kushmerick:
An expressive and efficient language for XML information retrieval.
JASIST 53(6): 438-453 (2002) |
2001 |
17 | EE | Aidan Finn,
Nicholas Kushmerick,
Barry Smyth:
Fact or Fiction: Content Classification for Digital Libraries.
DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries 2001 |
16 | EE | Clodagh Moriarty,
Nicholas Kushmerick,
Barry Smyth:
Personalised Intelligent Tutoring for Digital Libraries.
DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries 2001 |
15 | | Taurai Tapiwa Chinenyanga,
Nicholas Kushmerick:
Expressive Retrieval from XML Documents.
SIGIR 2001: 163-171 |
14 | EE | Taurai Tapiwa Chinenyanga,
Nicholas Kushmerick:
Similarity-based Queries for XML Databases Using ELIXIR.
WWW Posters 2001 |
13 | | Taurai Tapiwa Chinenyanga,
Nicholas Kushmerick:
Expressive and Efficient Ranked Querying of XML data.
WebDB 2001: 1-6 |
2000 |
12 | | Dayne Freitag,
Nicholas Kushmerick:
Boosted Wrapper Induction.
AAAI/IAAI 2000: 577-583 |
11 | EE | Nicholas Kushmerick,
James McKee,
Fergus Toolan:
Towards Zero-Input Personalization: Referrer-Based Page Prediction.
AH 2000: 133-143 |
10 | | Dieter Fensel,
Craig A. Knoblock,
Nicholas Kushmerick,
Marie-Christine Rousset:
Workshop on Intelligent Information Integration (III-99).
AI Magazine 21(1): 91-94 (2000) |
9 | EE | Nicholas Kushmerick:
Wrapper induction: Efficiency and expressiveness.
Artif. Intell. 118(1-2): 15-68 (2000) |
8 | | Nicholas Kushmerick:
Wrapper verification.
World Wide Web 3(2): 79-94 (2000) |
1999 |
7 | | Nicholas Kushmerick:
Regression testing for wrapper maintenance.
AAAI/IAAI 1999: 74-79 |
6 | EE | Nicholas Kushmerick:
Learning to Remove Internet Advertisements.
Agents 1999: 175-181 |
1997 |
5 | | Nicholas Kushmerick,
Daniel S. Weld,
Robert B. Doorenbos:
Wrapper Induction for Information Extraction.
IJCAI (1) 1997: 729-737 |
1996 |
4 | | Nicholas Kushmerick:
Cognitivism and Situated Action: Two Views on Intelligent Agency.
Computers and Artificial Intelligence 15(5): (1996) |
1995 |
3 | EE | Nicholas Kushmerick,
Steve Hanks,
Daniel S. Weld:
An Algorithm for Probabilistic Planning.
Artif. Intell. 76(1-2): 239-286 (1995) |
1994 |
2 | | Nicholas Kushmerick,
Steve Hanks,
Daniel S. Weld:
An Algorithm for Probabilistic Least-Commitment Planning.
AAAI 1994: 1073-1078 |
1 | | Nicholas Kushmerick:
Exploiting the Environment: Urban Navigation as a Case Study.
AAAI 1994: 1469 |